Overview

Dataset statistics

Number of variables20
Number of observations5000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory781.4 KiB
Average record size in memory160.0 B

Variable types

NUM19
CAT1

Reproduction

Analysis started2020-08-25 02:04:16.910267
Analysis finished2020-08-25 02:05:11.267162
Duration54.36 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Variables

X19
Real number (ℝ)

Distinct count554
Unique (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32856799999999997
Minimum-3.11
Maximum4.62
Zeros16
Zeros (%)0.3%
Memory size39.2 KiB
2020-08-25T02:05:11.309970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.11
5-th percentile-1.42
Q1-0.4
median0.31
Q31.06
95-th percentile2.05
Maximum4.62
Range7.73
Interquartile range (IQR)1.46

Descriptive statistics

Standard deviation1.063831517
Coefficient of variation (CV)3.237781881
Kurtosis-0.0661963268
Mean0.328568
Median Absolute Deviation (MAD)0.73
Skewness0.03011565904
Sum1642.84
Variance1.131737497
2020-08-25T02:05:11.417194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.08300.6%
 
0.36280.6%
 
0.44280.6%
 
0.84270.5%
 
0.74260.5%
 
-0.1260.5%
 
0.25250.5%
 
0.39250.5%
 
0.64250.5%
 
0.07250.5%
 
0.52240.5%
 
0.01240.5%
 
-0.22240.5%
 
0.58240.5%
 
0.26230.5%
 
-0.19220.4%
 
1.05220.4%
 
0.02220.4%
 
-0.16220.4%
 
-0.01220.4%
 
0.38220.4%
 
-0.41220.4%
 
-0.48210.4%
 
-0.46210.4%
 
0.88210.4%
 
Other values (529)439988.0%
 
ValueCountFrequency (%) 
-3.111< 0.1%
 
-3.091< 0.1%
 
-3.031< 0.1%
 
-2.991< 0.1%
 
-2.851< 0.1%
 
-2.82< 0.1%
 
-2.781< 0.1%
 
-2.732< 0.1%
 
-2.6730.1%
 
-2.641< 0.1%
 
ValueCountFrequency (%) 
4.621< 0.1%
 
4.351< 0.1%
 
4.031< 0.1%
 
41< 0.1%
 
3.861< 0.1%
 
3.851< 0.1%
 
3.521< 0.1%
 
3.511< 0.1%
 
3.461< 0.1%
 
3.441< 0.1%
 

X16
Real number (ℝ)

Distinct count754
Unique (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.338196
Minimum-3.97
Maximum6.65
Zeros10
Zeros (%)0.2%
Memory size39.2 KiB
2020-08-25T02:05:11.538164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.97
5-th percentile-1.17
Q10.08
median1.18
Q32.55
95-th percentile4.1905
Maximum6.65
Range10.62
Interquartile range (IQR)2.47

Descriptive statistics

Standard deviation1.668562785
Coefficient of variation (CV)1.246874736
Kurtosis-0.5098868348
Mean1.338196
Median Absolute Deviation (MAD)1.21
Skewness0.2608796827
Sum6690.98
Variance2.784101766
2020-08-25T02:05:11.633792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.4210.4%
 
0.52210.4%
 
0.41190.4%
 
-0.28190.4%
 
0.29190.4%
 
1.56190.4%
 
0.55180.4%
 
1.05180.4%
 
0.08180.4%
 
0.67170.3%
 
0.21160.3%
 
0.85160.3%
 
0.72160.3%
 
1.61160.3%
 
-0.01160.3%
 
0.45160.3%
 
0.91160.3%
 
-0.37150.3%
 
1.07150.3%
 
0.17150.3%
 
0.75150.3%
 
-0.16150.3%
 
1.01150.3%
 
0.12150.3%
 
-0.31150.3%
 
Other values (729)457991.6%
 
ValueCountFrequency (%) 
-3.971< 0.1%
 
-2.81< 0.1%
 
-2.741< 0.1%
 
-2.621< 0.1%
 
-2.61< 0.1%
 
-2.591< 0.1%
 
-2.582< 0.1%
 
-2.552< 0.1%
 
-2.541< 0.1%
 
-2.531< 0.1%
 
ValueCountFrequency (%) 
6.651< 0.1%
 
6.292< 0.1%
 
6.231< 0.1%
 
6.171< 0.1%
 
6.121< 0.1%
 
6.071< 0.1%
 
5.991< 0.1%
 
5.961< 0.1%
 
5.891< 0.1%
 
5.881< 0.1%
 

X15
Real number (ℝ)

Distinct count816
Unique (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.98184
Minimum-2.83
Maximum7.75
Zeros5
Zeros (%)0.1%
Memory size39.2 KiB
2020-08-25T02:05:11.740964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.83
5-th percentile-0.73
Q10.6
median1.82
Q33.3
95-th percentile5.07
Maximum7.75
Range10.58
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.80269719
Coefficient of variation (CV)0.909607834
Kurtosis-0.4916169208
Mean1.98184
Median Absolute Deviation (MAD)1.33
Skewness0.2716071851
Sum9909.2
Variance3.249717158
2020-08-25T02:05:11.838182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.83170.3%
 
1.47160.3%
 
1.89160.3%
 
0.06160.3%
 
1.36160.3%
 
1.17160.3%
 
1.09160.3%
 
1.18160.3%
 
0.39160.3%
 
1.82150.3%
 
1.53150.3%
 
1.4150.3%
 
1.55150.3%
 
0.8150.3%
 
0.45150.3%
 
1.14140.3%
 
0.5140.3%
 
0.98140.3%
 
1.68140.3%
 
2.22140.3%
 
3.37140.3%
 
1.02140.3%
 
1.31140.3%
 
1.58140.3%
 
0.19140.3%
 
Other values (791)462592.5%
 
ValueCountFrequency (%) 
-2.831< 0.1%
 
-2.771< 0.1%
 
-2.551< 0.1%
 
-2.511< 0.1%
 
-2.471< 0.1%
 
-2.391< 0.1%
 
-2.381< 0.1%
 
-2.321< 0.1%
 
-2.251< 0.1%
 
-2.241< 0.1%
 
ValueCountFrequency (%) 
7.751< 0.1%
 
7.671< 0.1%
 
7.661< 0.1%
 
7.561< 0.1%
 
7.461< 0.1%
 
7.391< 0.1%
 
7.341< 0.1%
 
7.21< 0.1%
 
7.111< 0.1%
 
7.11< 0.1%
 

X26
Real number (ℝ)

Distinct count525
Unique (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00028599999999999996
Minimum-3.43
Maximum3.85
Zeros22
Zeros (%)0.4%
Memory size39.2 KiB
2020-08-25T02:05:11.946884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.43
5-th percentile-1.6405
Q1-0.66
median0.02
Q30.66
95-th percentile1.61
Maximum3.85
Range7.28
Interquartile range (IQR)1.32

Descriptive statistics

Standard deviation0.9868098586
Coefficient of variation (CV)3450.384121
Kurtosis0.09176658701
Mean0.000286
Median Absolute Deviation (MAD)0.66
Skewness0.02176149914
Sum1.43
Variance0.9737936969
2020-08-25T02:05:12.058163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.05330.7%
 
-0.02330.7%
 
0.04310.6%
 
0.15300.6%
 
-0.21290.6%
 
0.25290.6%
 
0.35280.6%
 
-0.34280.6%
 
-0.22280.6%
 
0.38270.5%
 
-0.17270.5%
 
-0.16270.5%
 
0.13260.5%
 
-0.4260.5%
 
0.61260.5%
 
-0.64250.5%
 
-0.63250.5%
 
-0.68250.5%
 
0.09250.5%
 
0.53250.5%
 
0.21240.5%
 
-0.07240.5%
 
0.28240.5%
 
0.81240.5%
 
-0.37240.5%
 
Other values (500)432786.5%
 
ValueCountFrequency (%) 
-3.431< 0.1%
 
-3.231< 0.1%
 
-3.171< 0.1%
 
-3.121< 0.1%
 
-3.111< 0.1%
 
-3.091< 0.1%
 
-3.061< 0.1%
 
-3.041< 0.1%
 
-2.841< 0.1%
 
-2.821< 0.1%
 
ValueCountFrequency (%) 
3.851< 0.1%
 
3.791< 0.1%
 
3.391< 0.1%
 
3.371< 0.1%
 
3.271< 0.1%
 
3.191< 0.1%
 
3.11< 0.1%
 
3.061< 0.1%
 
2.931< 0.1%
 
2.922< 0.1%
 

X04
Real number (ℝ)

Distinct count772
Unique (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3522900000000002
Minimum-3.47
Maximum6.66
Zeros10
Zeros (%)0.2%
Memory size39.2 KiB
2020-08-25T02:05:12.172314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.47
5-th percentile-1.1405
Q10.07
median1.2
Q32.53
95-th percentile4.28
Maximum6.66
Range10.13
Interquartile range (IQR)2.46

Descriptive statistics

Standard deviation1.668541801
Coefficient of variation (CV)1.233863891
Kurtosis-0.4649576771
Mean1.35229
Median Absolute Deviation (MAD)1.22
Skewness0.2720371073
Sum6761.45
Variance2.784031742
2020-08-25T02:05:12.263118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.47220.4%
 
0.4190.4%
 
0.63180.4%
 
1.9180.4%
 
-0.03180.4%
 
-0.23180.4%
 
0.67170.3%
 
1.68170.3%
 
0.14170.3%
 
-0.45170.3%
 
0.85170.3%
 
-0.04170.3%
 
1.33160.3%
 
0.98160.3%
 
1.73160.3%
 
0.79160.3%
 
1.13160.3%
 
1.45160.3%
 
-0.07160.3%
 
1.54160.3%
 
2.13150.3%
 
-0.33150.3%
 
-0.06150.3%
 
-0.36150.3%
 
0.75150.3%
 
Other values (747)458291.6%
 
ValueCountFrequency (%) 
-3.471< 0.1%
 
-3.031< 0.1%
 
-2.991< 0.1%
 
-2.911< 0.1%
 
-2.711< 0.1%
 
-2.671< 0.1%
 
-2.611< 0.1%
 
-2.581< 0.1%
 
-2.541< 0.1%
 
-2.511< 0.1%
 
ValueCountFrequency (%) 
6.661< 0.1%
 
6.551< 0.1%
 
6.481< 0.1%
 
6.421< 0.1%
 
6.311< 0.1%
 
6.212< 0.1%
 
6.21< 0.1%
 
6.151< 0.1%
 
5.961< 0.1%
 
5.911< 0.1%
 

X12
Real number (ℝ)

Distinct count768
Unique (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.647354
Minimum-2.34
Maximum6.9
Zeros5
Zeros (%)0.1%
Memory size39.2 KiB
2020-08-25T02:05:12.362197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.34
5-th percentile-0.17
Q11.42
median2.78
Q33.9
95-th percentile5.23
Maximum6.9
Range9.24
Interquartile range (IQR)2.48

Descriptive statistics

Standard deviation1.659625479
Coefficient of variation (CV)0.6268997191
Kurtosis-0.5210556349
Mean2.647354
Median Absolute Deviation (MAD)1.24
Skewness-0.2048116273
Sum13236.77
Variance2.75435673
2020-08-25T02:05:12.453723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.04190.4%
 
2.1180.4%
 
3.13180.4%
 
3.37170.3%
 
3.1170.3%
 
3.8170.3%
 
2.77170.3%
 
2.34170.3%
 
3.26160.3%
 
2.07160.3%
 
1.9160.3%
 
3.24160.3%
 
3.35160.3%
 
1.42160.3%
 
3.14150.3%
 
3.15150.3%
 
3.33150.3%
 
2.61150.3%
 
3.76150.3%
 
4.12150.3%
 
3.06150.3%
 
2.56150.3%
 
4.09150.3%
 
2.45150.3%
 
3.54150.3%
 
Other values (743)459992.0%
 
ValueCountFrequency (%) 
-2.341< 0.1%
 
-2.211< 0.1%
 
-2.181< 0.1%
 
-2.171< 0.1%
 
-2.091< 0.1%
 
-2.021< 0.1%
 
-1.931< 0.1%
 
-1.871< 0.1%
 
-1.851< 0.1%
 
-1.771< 0.1%
 
ValueCountFrequency (%) 
6.91< 0.1%
 
6.711< 0.1%
 
6.681< 0.1%
 
6.651< 0.1%
 
6.641< 0.1%
 
6.631< 0.1%
 
6.542< 0.1%
 
6.491< 0.1%
 
6.481< 0.1%
 
6.471< 0.1%
 

X37
Real number (ℝ)

Distinct count520
Unique (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.010842
Minimum-3.29
Maximum3.72
Zeros24
Zeros (%)0.5%
Memory size39.2 KiB
2020-08-25T02:05:12.558732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.29
5-th percentile-1.64
Q1-0.66
median-0.03
Q30.67
95-th percentile1.64
Maximum3.72
Range7.01
Interquartile range (IQR)1.33

Descriptive statistics

Standard deviation0.995721971
Coefficient of variation (CV)-91.83932586
Kurtosis-0.0149757898
Mean-0.010842
Median Absolute Deviation (MAD)0.66
Skewness0.0354758372
Sum-54.21
Variance0.9914622435
2020-08-25T02:05:12.674654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.71320.6%
 
-0.58300.6%
 
-0.05300.6%
 
-0.07280.6%
 
0.12280.6%
 
0.23280.6%
 
-0.04270.5%
 
-0.44270.5%
 
-0.09270.5%
 
0.05270.5%
 
-0.49260.5%
 
0.68260.5%
 
0.19260.5%
 
0.21250.5%
 
-0.19250.5%
 
-0.18250.5%
 
-0.6250.5%
 
-0.22250.5%
 
-0.42240.5%
 
-0.11240.5%
 
-0.57240.5%
 
0.01240.5%
 
-0.21240.5%
 
0.11240.5%
 
-0.17240.5%
 
Other values (495)434586.9%
 
ValueCountFrequency (%) 
-3.291< 0.1%
 
-3.231< 0.1%
 
-3.062< 0.1%
 
-2.961< 0.1%
 
-2.871< 0.1%
 
-2.861< 0.1%
 
-2.852< 0.1%
 
-2.841< 0.1%
 
-2.781< 0.1%
 
-2.761< 0.1%
 
ValueCountFrequency (%) 
3.721< 0.1%
 
3.341< 0.1%
 
3.291< 0.1%
 
3.251< 0.1%
 
3.21< 0.1%
 
3.071< 0.1%
 
2.981< 0.1%
 
2.931< 0.1%
 
2.8630.1%
 
2.791< 0.1%
 

X27
Real number (ℝ)

Distinct count534
Unique (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01315
Minimum-3.73
Maximum3.59
Zeros26
Zeros (%)0.5%
Memory size39.2 KiB
2020-08-25T02:05:12.973576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.73
5-th percentile-1.65
Q1-0.66
median0.01
Q30.7
95-th percentile1.65
Maximum3.59
Range7.32
Interquartile range (IQR)1.36

Descriptive statistics

Standard deviation1.00583947
Coefficient of variation (CV)76.48969356
Kurtosis0.02242769023
Mean0.01315
Median Absolute Deviation (MAD)0.68
Skewness0.01106921843
Sum65.75
Variance1.01171304
2020-08-25T02:05:13.084877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.16340.7%
 
-0.43300.6%
 
0.39290.6%
 
0.1290.6%
 
-0.34280.6%
 
0.45270.5%
 
0.2270.5%
 
-0.15270.5%
 
0.33260.5%
 
-0.58260.5%
 
-0260.5%
 
0.04260.5%
 
0.62250.5%
 
0.46250.5%
 
-0.01250.5%
 
0.25240.5%
 
-0.5240.5%
 
0.86240.5%
 
0.02230.5%
 
0.21230.5%
 
-0.06230.5%
 
-0.23230.5%
 
0.27230.5%
 
-0.21230.5%
 
-0.36230.5%
 
Other values (509)435787.1%
 
ValueCountFrequency (%) 
-3.731< 0.1%
 
-3.331< 0.1%
 
-3.291< 0.1%
 
-3.261< 0.1%
 
-3.161< 0.1%
 
-3.11< 0.1%
 
-3.061< 0.1%
 
-3.031< 0.1%
 
-31< 0.1%
 
-2.951< 0.1%
 
ValueCountFrequency (%) 
3.591< 0.1%
 
3.51< 0.1%
 
3.31< 0.1%
 
3.261< 0.1%
 
3.231< 0.1%
 
3.171< 0.1%
 
3.161< 0.1%
 
3.131< 0.1%
 
3.041< 0.1%
 
2.941< 0.1%
 

X39
Real number (ℝ)

Distinct count530
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025927999999999996
Minimum-3.75
Maximum3.5
Zeros31
Zeros (%)0.6%
Memory size39.2 KiB
2020-08-25T02:05:13.203442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.75
5-th percentile-1.6405
Q1-0.6525
median0.03
Q30.69
95-th percentile1.68
Maximum3.5
Range7.25
Interquartile range (IQR)1.3425

Descriptive statistics

Standard deviation1.002821674
Coefficient of variation (CV)38.67717038
Kurtosis0.02057770587
Mean0.025928
Median Absolute Deviation (MAD)0.68
Skewness-0.02012894339
Sum129.64
Variance1.005651309
2020-08-25T02:05:13.315862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.1340.7%
 
-0.19330.7%
 
0310.6%
 
0.59310.6%
 
-0.26280.6%
 
-0.04280.6%
 
0.51270.5%
 
0.4270.5%
 
-0.35260.5%
 
-0.65260.5%
 
-0.01250.5%
 
-0.13250.5%
 
-0.33250.5%
 
0.69250.5%
 
0.67250.5%
 
0.25250.5%
 
0.53240.5%
 
-0.07240.5%
 
0.24240.5%
 
-0.15240.5%
 
-0.16240.5%
 
0.09240.5%
 
0.68240.5%
 
-0.28230.5%
 
0.27230.5%
 
Other values (505)434586.9%
 
ValueCountFrequency (%) 
-3.751< 0.1%
 
-3.581< 0.1%
 
-3.531< 0.1%
 
-3.471< 0.1%
 
-3.051< 0.1%
 
-3.011< 0.1%
 
-31< 0.1%
 
-2.981< 0.1%
 
-2.91< 0.1%
 
-2.891< 0.1%
 
ValueCountFrequency (%) 
3.51< 0.1%
 
3.451< 0.1%
 
3.361< 0.1%
 
3.291< 0.1%
 
3.141< 0.1%
 
2.991< 0.1%
 
2.881< 0.1%
 
2.871< 0.1%
 
2.841< 0.1%
 
2.781< 0.1%
 

X06
Real number (ℝ)

Distinct count890
Unique (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6655559999999996
Minimum-2.97
Maximum8.53
Zeros5
Zeros (%)0.1%
Memory size39.2 KiB
2020-08-25T02:05:13.437710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.97
5-th percentile-0.47
Q11.11
median2.53
Q34.22
95-th percentile6.04
Maximum8.53
Range11.5
Interquartile range (IQR)3.11

Descriptive statistics

Standard deviation2.032673797
Coefficient of variation (CV)0.7625702843
Kurtosis-0.6790518256
Mean2.665556
Median Absolute Deviation (MAD)1.55
Skewness0.1427894509
Sum13327.78
Variance4.131762763
2020-08-25T02:05:13.537277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
4.04160.3%
 
1.67160.3%
 
1.57150.3%
 
1.58140.3%
 
2.08140.3%
 
3.51140.3%
 
1.62140.3%
 
2.02140.3%
 
1.37140.3%
 
3.18130.3%
 
1.4130.3%
 
1.42130.3%
 
0.92130.3%
 
3.02130.3%
 
1.52130.3%
 
2.98130.3%
 
3.69130.3%
 
1.03130.3%
 
2.32130.3%
 
0.98130.3%
 
2.92120.2%
 
2.18120.2%
 
5.16120.2%
 
4.7120.2%
 
1.95120.2%
 
Other values (865)466693.3%
 
ValueCountFrequency (%) 
-2.971< 0.1%
 
-2.921< 0.1%
 
-2.841< 0.1%
 
-2.71< 0.1%
 
-2.661< 0.1%
 
-2.51< 0.1%
 
-2.411< 0.1%
 
-2.212< 0.1%
 
-1.881< 0.1%
 
-1.861< 0.1%
 
ValueCountFrequency (%) 
8.531< 0.1%
 
8.321< 0.1%
 
8.241< 0.1%
 
8.041< 0.1%
 
7.991< 0.1%
 
7.981< 0.1%
 
7.951< 0.1%
 
7.941< 0.1%
 
7.931< 0.1%
 
7.881< 0.1%
 

X25
Real number (ℝ)

Distinct count523
Unique (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.011930000000000001
Minimum-3.53
Maximum3.91
Zeros19
Zeros (%)0.4%
Memory size39.2 KiB
2020-08-25T02:05:13.644399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.53
5-th percentile-1.65
Q1-0.66
median-0.02
Q30.65
95-th percentile1.6
Maximum3.91
Range7.44
Interquartile range (IQR)1.31

Descriptive statistics

Standard deviation0.981215436
Coefficient of variation (CV)-82.24773143
Kurtosis0.05003702268
Mean-0.01193
Median Absolute Deviation (MAD)0.65
Skewness-0.03075135531
Sum-59.65
Variance0.9627837318
2020-08-25T02:05:13.751432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.49280.6%
 
-0.2280.6%
 
0.19280.6%
 
-0.15280.6%
 
-0.19270.5%
 
0.06270.5%
 
0.81260.5%
 
0.26260.5%
 
-0.1260.5%
 
-0.22260.5%
 
-0.05250.5%
 
-0.41250.5%
 
0.25240.5%
 
0.17240.5%
 
0.09240.5%
 
0.4240.5%
 
-0.37240.5%
 
0.03240.5%
 
0.23240.5%
 
0.2240.5%
 
-0.23240.5%
 
-0.34230.5%
 
0.21230.5%
 
-0.16230.5%
 
-0.18230.5%
 
Other values (498)437287.4%
 
ValueCountFrequency (%) 
-3.531< 0.1%
 
-3.141< 0.1%
 
-3.071< 0.1%
 
-3.061< 0.1%
 
-2.991< 0.1%
 
-2.9730.1%
 
-2.911< 0.1%
 
-2.861< 0.1%
 
-2.851< 0.1%
 
-2.812< 0.1%
 
ValueCountFrequency (%) 
3.911< 0.1%
 
3.561< 0.1%
 
3.521< 0.1%
 
3.41< 0.1%
 
3.341< 0.1%
 
3.141< 0.1%
 
3.031< 0.1%
 
2.991< 0.1%
 
2.921< 0.1%
 
2.871< 0.1%
 

X09
Real number (ℝ)

Distinct count713
Unique (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.996004
Minimum-1.72
Maximum7.86
Zeros3
Zeros (%)0.1%
Memory size39.2 KiB
2020-08-25T02:05:13.875539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile0.46
Q11.9
median3.01
Q34.1
95-th percentile5.47
Maximum7.86
Range9.58
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.524579004
Coefficient of variation (CV)0.5088708173
Kurtosis-0.4377800834
Mean2.996004
Median Absolute Deviation (MAD)1.09
Skewness-0.01457953949
Sum14980.02
Variance2.32434114
2020-08-25T02:05:13.971723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.9200.4%
 
3.47200.4%
 
2.79200.4%
 
4.3190.4%
 
3.23190.4%
 
3.54190.4%
 
2.4180.4%
 
1.74180.4%
 
3.35180.4%
 
3.39180.4%
 
3.06170.3%
 
3.01170.3%
 
2.83170.3%
 
3.69170.3%
 
3.02170.3%
 
4.11170.3%
 
3.67170.3%
 
2.47170.3%
 
3.7170.3%
 
2.59170.3%
 
2.73170.3%
 
3.28160.3%
 
3.46160.3%
 
2.76160.3%
 
3.37160.3%
 
Other values (688)456091.2%
 
ValueCountFrequency (%) 
-1.721< 0.1%
 
-1.561< 0.1%
 
-1.521< 0.1%
 
-1.481< 0.1%
 
-1.171< 0.1%
 
-1.151< 0.1%
 
-1.081< 0.1%
 
-1.041< 0.1%
 
-0.971< 0.1%
 
-0.921< 0.1%
 
ValueCountFrequency (%) 
7.861< 0.1%
 
7.371< 0.1%
 
7.341< 0.1%
 
7.291< 0.1%
 
7.21< 0.1%
 
7.121< 0.1%
 
7.051< 0.1%
 
6.951< 0.1%
 
6.842< 0.1%
 
6.811< 0.1%
 

X13
Real number (ℝ)

Distinct count793
Unique (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.671456
Minimum-2.74
Maximum8.82
Zeros4
Zeros (%)0.1%
Memory size39.2 KiB
2020-08-25T02:05:14.080549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.74
5-th percentile-0.26
Q11.36
median2.75
Q33.97
95-th percentile5.43
Maximum8.82
Range11.56
Interquartile range (IQR)2.61

Descriptive statistics

Standard deviation1.764309337
Coefficient of variation (CV)0.6604298694
Kurtosis-0.555784552
Mean2.671456
Median Absolute Deviation (MAD)1.31
Skewness-0.08417838203
Sum13357.28
Variance3.112787438
2020-08-25T02:05:14.174840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.02210.4%
 
2.87200.4%
 
3.79180.4%
 
1.89180.4%
 
3.58180.4%
 
3.84180.4%
 
3.56180.4%
 
2.91170.3%
 
2.97160.3%
 
3.88160.3%
 
3.37160.3%
 
3.27160.3%
 
1.38160.3%
 
3.39160.3%
 
3.75160.3%
 
2.96150.3%
 
2.9150.3%
 
3.65150.3%
 
3.61150.3%
 
2.16150.3%
 
1.31150.3%
 
2.02150.3%
 
1.18150.3%
 
2.31150.3%
 
3.62150.3%
 
Other values (768)459091.8%
 
ValueCountFrequency (%) 
-2.741< 0.1%
 
-2.641< 0.1%
 
-2.421< 0.1%
 
-2.391< 0.1%
 
-2.241< 0.1%
 
-2.21< 0.1%
 
-2.171< 0.1%
 
-2.081< 0.1%
 
-2.051< 0.1%
 
-1.971< 0.1%
 
ValueCountFrequency (%) 
8.821< 0.1%
 
8.041< 0.1%
 
81< 0.1%
 
7.691< 0.1%
 
7.631< 0.1%
 
7.431< 0.1%
 
7.321< 0.1%
 
7.231< 0.1%
 
7.221< 0.1%
 
7.181< 0.1%
 

X31
Real number (ℝ)

Distinct count530
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030427999999999993
Minimum-3.41
Maximum3.19
Zeros17
Zeros (%)0.3%
Memory size39.2 KiB
2020-08-25T02:05:14.282783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.41
5-th percentile-1.6
Q1-0.64
median0.04
Q30.7
95-th percentile1.66
Maximum3.19
Range6.6
Interquartile range (IQR)1.34

Descriptive statistics

Standard deviation0.9920195146
Coefficient of variation (CV)32.60219254
Kurtosis-0.04974666962
Mean0.030428
Median Absolute Deviation (MAD)0.67
Skewness-0.02300750258
Sum152.14
Variance0.9841027174
2020-08-25T02:05:14.389501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.01330.7%
 
-0.11300.6%
 
0.14290.6%
 
0.29270.5%
 
0.04260.5%
 
0.2260.5%
 
0.4250.5%
 
-0.07250.5%
 
0.02250.5%
 
0.81250.5%
 
-0.31240.5%
 
0.48240.5%
 
-0.62240.5%
 
0.07240.5%
 
0.06230.5%
 
0.16230.5%
 
0.09230.5%
 
0.41230.5%
 
0.15230.5%
 
-0.54230.5%
 
-0.01230.5%
 
0.18230.5%
 
0.75230.5%
 
0.36230.5%
 
-0.37230.5%
 
Other values (505)438087.6%
 
ValueCountFrequency (%) 
-3.411< 0.1%
 
-3.31< 0.1%
 
-3.251< 0.1%
 
-3.151< 0.1%
 
-3.121< 0.1%
 
-3.11< 0.1%
 
-31< 0.1%
 
-2.851< 0.1%
 
-2.841< 0.1%
 
-2.81< 0.1%
 
ValueCountFrequency (%) 
3.191< 0.1%
 
3.171< 0.1%
 
2.931< 0.1%
 
2.921< 0.1%
 
2.91< 0.1%
 
2.882< 0.1%
 
2.861< 0.1%
 
2.842< 0.1%
 
2.831< 0.1%
 
2.81< 0.1%
 

X34
Real number (ℝ)

Distinct count537
Unique (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010933999999999998
Minimum-3.49
Maximum3.55
Zeros26
Zeros (%)0.5%
Memory size39.2 KiB
2020-08-25T02:05:14.504313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.49
5-th percentile-1.6005
Q1-0.65
median-0
Q30.6825
95-th percentile1.67
Maximum3.55
Range7.04
Interquartile range (IQR)1.3325

Descriptive statistics

Standard deviation1.003844275
Coefficient of variation (CV)91.80942701
Kurtosis0.04887835608
Mean0.010934
Median Absolute Deviation (MAD)0.67
Skewness0.006240727205
Sum54.67
Variance1.007703328
2020-08-25T02:05:14.612705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.14330.7%
 
-0.02300.6%
 
0.28290.6%
 
-0.18280.6%
 
0.05270.5%
 
-0.04270.5%
 
-0.33260.5%
 
0260.5%
 
0.8250.5%
 
0.11250.5%
 
-0.63250.5%
 
0.31240.5%
 
0.37240.5%
 
-0.09240.5%
 
-0.48240.5%
 
0.2240.5%
 
-0.59240.5%
 
-0.01240.5%
 
0.63240.5%
 
0.27230.5%
 
0.01230.5%
 
0.7230.5%
 
0.34230.5%
 
-0.61230.5%
 
-0.29230.5%
 
Other values (512)436987.4%
 
ValueCountFrequency (%) 
-3.491< 0.1%
 
-3.481< 0.1%
 
-3.461< 0.1%
 
-3.341< 0.1%
 
-3.291< 0.1%
 
-3.141< 0.1%
 
-2.991< 0.1%
 
-2.921< 0.1%
 
-2.91< 0.1%
 
-2.881< 0.1%
 
ValueCountFrequency (%) 
3.551< 0.1%
 
3.31< 0.1%
 
3.231< 0.1%
 
3.181< 0.1%
 
3.161< 0.1%
 
3.141< 0.1%
 
3.051< 0.1%
 
3.041< 0.1%
 
3.021< 0.1%
 
3.011< 0.1%
 

X08
Real number (ℝ)

Distinct count764
Unique (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6763
Minimum-2.26
Maximum7.33
Zeros9
Zeros (%)0.2%
Memory size39.2 KiB
2020-08-25T02:05:14.724870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.26
5-th percentile-0.21
Q11.49
median2.825
Q33.94
95-th percentile5.13
Maximum7.33
Range9.59
Interquartile range (IQR)2.45

Descriptive statistics

Standard deviation1.668996351
Coefficient of variation (CV)0.6236208015
Kurtosis-0.5535235005
Mean2.6763
Median Absolute Deviation (MAD)1.215
Skewness-0.2720307816
Sum13381.5
Variance2.78554882
2020-08-25T02:05:14.815660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.11200.4%
 
3.51190.4%
 
2.17190.4%
 
3.27190.4%
 
3.11190.4%
 
3.88190.4%
 
3.41190.4%
 
4.13190.4%
 
3.13180.4%
 
3.37180.4%
 
3.74170.3%
 
2.53170.3%
 
3.01170.3%
 
3.71170.3%
 
4.35170.3%
 
3.89170.3%
 
3.4170.3%
 
2.67160.3%
 
1.99160.3%
 
4.16160.3%
 
3.92160.3%
 
3.19160.3%
 
3.12160.3%
 
4.84160.3%
 
1.1160.3%
 
Other values (739)456491.3%
 
ValueCountFrequency (%) 
-2.261< 0.1%
 
-2.221< 0.1%
 
-2.171< 0.1%
 
-2.131< 0.1%
 
-2.071< 0.1%
 
-1.981< 0.1%
 
-1.951< 0.1%
 
-1.871< 0.1%
 
-1.851< 0.1%
 
-1.781< 0.1%
 
ValueCountFrequency (%) 
7.331< 0.1%
 
7.041< 0.1%
 
6.791< 0.1%
 
6.781< 0.1%
 
6.681< 0.1%
 
6.632< 0.1%
 
6.61< 0.1%
 
6.591< 0.1%
 
6.561< 0.1%
 
6.531< 0.1%
 

X17
Real number (ℝ)

Distinct count681
Unique (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98692
Minimum-3.63
Maximum6.05
Zeros17
Zeros (%)0.3%
Memory size39.2 KiB
2020-08-25T02:05:14.917556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.63
5-th percentile-1.23
Q1-0.04
median0.89
Q31.95
95-th percentile3.4305
Maximum6.05
Range9.68
Interquartile range (IQR)1.99

Descriptive statistics

Standard deviation1.414216248
Coefficient of variation (CV)1.432959356
Kurtosis-0.2708174055
Mean0.98692
Median Absolute Deviation (MAD)1
Skewness0.2147835454
Sum4934.6
Variance2.000007595
2020-08-25T02:05:15.013469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.61250.5%
 
0.86220.4%
 
0.58220.4%
 
0.4220.4%
 
1.92220.4%
 
1.14210.4%
 
1.29190.4%
 
1.07190.4%
 
0.5190.4%
 
0.24190.4%
 
0.46190.4%
 
0.76180.4%
 
1.49180.4%
 
0.62180.4%
 
0.47180.4%
 
0.27180.4%
 
-0170.3%
 
0.53170.3%
 
0.92170.3%
 
1.56170.3%
 
0.98170.3%
 
0.63170.3%
 
1.34170.3%
 
0.29170.3%
 
0.38170.3%
 
Other values (656)452890.6%
 
ValueCountFrequency (%) 
-3.631< 0.1%
 
-3.141< 0.1%
 
-2.961< 0.1%
 
-2.782< 0.1%
 
-2.741< 0.1%
 
-2.691< 0.1%
 
-2.681< 0.1%
 
-2.611< 0.1%
 
-2.591< 0.1%
 
-2.581< 0.1%
 
ValueCountFrequency (%) 
6.051< 0.1%
 
5.431< 0.1%
 
5.421< 0.1%
 
5.291< 0.1%
 
5.251< 0.1%
 
5.151< 0.1%
 
5.131< 0.1%
 
5.121< 0.1%
 
5.081< 0.1%
 
5.051< 0.1%
 

X24
Real number (ℝ)

Distinct count527
Unique (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002196000000000001
Minimum-3.73
Maximum3.88
Zeros22
Zeros (%)0.4%
Memory size39.2 KiB
2020-08-25T02:05:15.126694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.73
5-th percentile-1.6
Q1-0.68
median0
Q30.67
95-th percentile1.64
Maximum3.88
Range7.61
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.000680913
Coefficient of variation (CV)-455.683476
Kurtosis0.01104957189
Mean-0.002196
Median Absolute Deviation (MAD)0.675
Skewness0.04458360731
Sum-10.98
Variance1.00136229
2020-08-25T02:05:15.239233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.06300.6%
 
-0.14280.6%
 
-0.38260.5%
 
-0.24260.5%
 
0.32260.5%
 
0.08260.5%
 
0.26260.5%
 
-0.32250.5%
 
-0.13250.5%
 
-0.5250.5%
 
0.24250.5%
 
0.85250.5%
 
0.4240.5%
 
0.04240.5%
 
0.02240.5%
 
-0.05240.5%
 
-0.02240.5%
 
-0.12240.5%
 
0.28240.5%
 
-0.04240.5%
 
-0.68240.5%
 
-0.25240.5%
 
-0.46230.5%
 
-0.31230.5%
 
-0.06230.5%
 
Other values (502)437887.6%
 
ValueCountFrequency (%) 
-3.731< 0.1%
 
-3.481< 0.1%
 
-3.461< 0.1%
 
-3.171< 0.1%
 
-3.031< 0.1%
 
-2.941< 0.1%
 
-2.931< 0.1%
 
-2.921< 0.1%
 
-2.912< 0.1%
 
-2.91< 0.1%
 
ValueCountFrequency (%) 
3.881< 0.1%
 
3.211< 0.1%
 
3.21< 0.1%
 
3.171< 0.1%
 
3.111< 0.1%
 
3.071< 0.1%
 
3.041< 0.1%
 
2.991< 0.1%
 
2.951< 0.1%
 
2.922< 0.1%
 

X00
Real number (ℝ)

Distinct count529
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.018560000000000004
Minimum-3.54
Maximum3.35
Zeros18
Zeros (%)0.4%
Memory size39.2 KiB
2020-08-25T02:05:15.365386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-3.54
5-th percentile-1.6905
Q1-0.6825
median-0.03
Q30.66
95-th percentile1.601
Maximum3.35
Range6.89
Interquartile range (IQR)1.3425

Descriptive statistics

Standard deviation1.001375772
Coefficient of variation (CV)-53.953436
Kurtosis-0.03635377974
Mean-0.01856
Median Absolute Deviation (MAD)0.67
Skewness-0.01740525689
Sum-92.8
Variance1.002753437
2020-08-25T02:05:15.470968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.48290.6%
 
-0.23290.6%
 
-0.63280.6%
 
-0.11270.5%
 
-0.12270.5%
 
-0.3270.5%
 
0.12260.5%
 
0.31260.5%
 
-0.29260.5%
 
-0.43250.5%
 
-0.58250.5%
 
-0.33250.5%
 
-0.01250.5%
 
-0.69250.5%
 
0.23250.5%
 
-0.27250.5%
 
0.22240.5%
 
0.09240.5%
 
-0.22240.5%
 
-0.05240.5%
 
-0.17230.5%
 
0.13230.5%
 
-0.55230.5%
 
-0.02230.5%
 
0.05230.5%
 
Other values (504)436987.4%
 
ValueCountFrequency (%) 
-3.541< 0.1%
 
-3.241< 0.1%
 
-3.21< 0.1%
 
-3.152< 0.1%
 
-3.121< 0.1%
 
-3.081< 0.1%
 
-3.012< 0.1%
 
-31< 0.1%
 
-2.981< 0.1%
 
-2.951< 0.1%
 
ValueCountFrequency (%) 
3.351< 0.1%
 
3.231< 0.1%
 
3.181< 0.1%
 
2.961< 0.1%
 
2.931< 0.1%
 
2.921< 0.1%
 
2.81< 0.1%
 
2.791< 0.1%
 
2.762< 0.1%
 
2.742< 0.1%
 

target
Categorical

Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.2 KiB
0
1692
2
1655
1
1653
ValueCountFrequency (%) 
0169233.8%
 
2165533.1%
 
1165333.1%
 
2020-08-25T02:05:15.625716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Overview of Unicode Properties

Unique unicode characters3
Unique unicode categories (?)1
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0169233.8%
 
2165533.1%
 
1165333.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number5000100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0169233.8%
 
2165533.1%
 
1165333.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Common5000100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0169233.8%
 
2165533.1%
 
1165333.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5000100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0169233.8%
 
2165533.1%
 
1165333.1%
 

Interactions

2020-08-25T02:04:18.364981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:18.709937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:18.851624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:18.996670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:19.147724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:19.289664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:19.427433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:19.579237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:19.729230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:19.878418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.022758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.171156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.314185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.459431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.607090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.755280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:20.894183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.035900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.188149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.334912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.479120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.608410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.739172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:21.879761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.005283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.130519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.266567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.402002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.536220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.659946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.795688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:22.925243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:23.252227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:23.385321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:23.522244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:23.651639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:23.781059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:23.920064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.057482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.201052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.334159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.468818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.617182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.745414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:24.872256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.007767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.140544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.276258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.405916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.550226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.681412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.810359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:25.941762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.074178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.201972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.339473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.477073image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.610734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.760646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:26.899103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:27.037895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:27.185923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:27.319895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:27.454456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:27.790862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:27.937579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.084615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.226580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.375385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.514364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.651162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.799067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:28.939728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.087110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.224772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.374151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.515703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.648036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.773353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:29.900164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.031979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.150271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.270342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.400359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.539057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.672307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.796736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:30.928741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.051530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.175746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.303083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.432680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.550879image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.670774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.807237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:31.938385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:32.264364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:32.394137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:32.525279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:32.659785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:32.778298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:32.901507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.031739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.163593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.304477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.440252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.574695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.698648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.829279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:33.962211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.107033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.230040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.357293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.492655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.618703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.768887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:34.907502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.045888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.188112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.321803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.460815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.612998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.756804image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:35.901435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:36.037938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:36.187644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:36.332591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:36.475883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:36.806552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:36.949419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.087643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.228075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.377468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.524052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.669903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.807378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:37.949095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.095763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.227001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.373115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.522868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.666961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.810737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:38.949411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.105075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.245389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.385500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.535498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.677899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.817311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:39.956112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:04:40.397326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:04:40.978873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:41.129670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:41.466258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:41.613543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:41.757779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:41.894926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:42.042353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:42.182117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:42.316032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:42.461629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:04:42.741792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:04:43.036272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T02:04:44.400811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:44.528913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:44.665536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:44.794859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:44.922440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:45.054092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:45.189635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:45.313192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:45.442216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:45.590924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:45.725059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.071517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.213641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.353926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.507224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.642163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.777336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:46.920496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.070347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.220626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.358928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.511230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.660273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.799791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:47.941339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.084813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.224343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.364238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.520065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.667397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.815030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:48.947843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.079138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.226429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.367235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.492896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.628622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.763591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:49.896655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:50.023678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:50.162226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:50.289773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:50.611899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:50.754018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:50.894520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.023855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.157848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.301788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.434348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.577000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.708071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.841629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:51.987585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.113152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.241000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.379601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.525791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.661137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.792236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:52.931749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.061305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.192008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.327396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.460987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.585195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.719903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.861269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:53.995354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:54.150635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:54.288041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:54.424876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:54.564393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:54.696231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:54.826764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.149035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.287282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.425588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.557546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.706951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.843700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:55.976817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:56.111439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:56.249757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:56.380289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:56.511962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:56.693543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:56.883598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.026149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.158365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.291883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.434866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.565553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.694873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.836176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:57.974765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.118114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.254567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.396479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.532182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.669273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.806910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:58.945928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:59.087118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:59.221996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:59.366290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:59.502404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:59.827539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:04:59.950454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.074943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.210427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.328358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.452449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.595106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.728015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.859214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:00.985243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.122589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.249388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.375496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.503331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.632312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.752907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:01.878494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.012044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.141835image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.281577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.415164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.541172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.676397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.805090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:02.930374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.065298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.199890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.335258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.469654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.603484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.729990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.859411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:03.993079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:04.320462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:04.449229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:04.577402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:04.717471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:04.858418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.014071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.155339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.299231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.450520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.591991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.733998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:05.885652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.037733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.184293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.328038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.481085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.623636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.772950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:06.920408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.069427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.208037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.356178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.514544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.663298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.806216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:07.937950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:08.074067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:08.217312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:08.345760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:08.475302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:08.617259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:08.955979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.100566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.232880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.370206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.504529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.636877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.772833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:09.910030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:10.043934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:10.176200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:10.319410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T02:05:15.766426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T02:05:16.062546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T02:05:16.555537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T02:05:16.870893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T02:05:10.619098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T02:05:11.085734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

X19X16X15X26X04X12X37X27X39X06X25X09X13X31X34X08X17X24X00target
02.282.253.160.02-0.104.650.56-1.320.292.491.110.585.82-0.860.341.344.01-0.14-0.232
1-0.902.233.400.131.523.080.910.110.221.490.401.345.011.28-0.182.332.56-1.320.380
2-0.10-0.80-0.870.072.442.35-0.090.641.003.090.203.61-1.040.290.285.480.63-1.64-0.691
30.472.725.710.101.033.511.350.200.10-1.230.120.874.880.43-0.990.110.951.120.400
42.472.090.341.194.222.51-0.58-0.550.404.520.214.662.400.62-1.875.600.290.31-0.811
5-0.03-0.070.140.341.803.45-1.82-0.58-0.232.16-0.623.632.471.230.194.080.32-1.270.591
61.30-1.001.900.144.00-1.43-0.451.530.275.36-2.053.890.700.25-0.353.81-0.31-0.19-0.150
70.251.792.12-0.19-1.395.46-0.72-0.740.951.71-0.635.812.72-0.00-0.402.960.202.06-0.302
8-0.220.011.420.544.261.531.14-0.680.046.24-0.044.84-1.19-1.18-0.153.950.980.81-1.450
91.174.913.860.29-1.894.14-0.370.171.300.05-1.153.663.70-0.12-0.162.382.70-0.830.282

Last rows

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49901.024.004.41-1.37-0.114.080.340.941.362.312.711.065.820.530.580.021.89-1.48-1.370
4991-0.240.383.77-0.98-0.343.971.21-1.751.051.271.704.364.340.60-1.752.65-0.11-1.32-3.202
4992-0.001.090.390.112.323.181.121.79-0.142.690.114.152.560.890.734.45-2.280.55-0.431
49931.203.574.07-0.55-0.853.79-0.43-0.921.96-0.720.440.625.850.62-0.121.171.210.440.312
49940.302.782.98-0.911.254.93-1.571.480.720.850.433.953.160.14-0.333.372.70-0.140.592
49951.853.033.120.053.430.630.18-0.621.114.041.620.781.34-2.56-0.781.831.340.410.440
4996-0.170.010.52-0.501.410.810.71-1.680.363.750.153.711.550.37-1.083.440.421.911.181
49971.295.283.780.931.553.57-0.380.94-0.850.420.231.544.381.61-0.84-0.701.91-0.670.642
49980.800.970.200.094.281.11-0.630.330.634.46-0.040.250.92-0.65-0.974.801.48-0.890.180
49991.723.052.16-0.202.223.541.010.170.613.09-0.910.622.150.280.511.422.76-0.662.050